code: def __init__(self, **kwargs):
      super().__init__(**kwargs)
      self.add_to_recordable_attributes(name="num_pairs", is_stat=True)
      self.cross_entropy = torch.nn.CrossEntropyLoss(reduction="none")
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/losses/n_pairs_loss.py
imports: import torch
  from ..distances import DotProductSimilarity
  from ..utils import common_functions
  from ..utils import loss_and_miner_utils
  from .base_metric_loss_function import BaseMetricLossFunction
label_desc: Use image node_id 1 to create a new NPairsLoss object from inherited base classes: BaseMetricLossFunction with example: obj = NPairsLoss()